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Introduction to Probability  and Statistics Eleventh Edition Robert J. Beaver • Barbara M. Beaver • William Mendenhall Presentation designed and written by:  Barbara M. Beaver with minor change by Joon Jin Song
Introduction to Probability  and Statistics Eleventh Edition Chapter 1 Describing Data with Graphs Some graphic screen captures from  Seeing Statistics ® Some images © 2001-(current year) www.arttoday.com 
Syllabus ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Syllabus ,[object Object],[object Object]
Syllabus ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Syllabus ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is Statistics? ,[object Object],[object Object],[object Object],[object Object]
Variables and Data ,[object Object],[object Object],[object Object],[object Object]
Definitions ,[object Object],[object Object],[object Object]
Basic Concept Population: the set of all measurements of interest to the investigator   Sample: a subset of measurements selected from the population of interest
Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
How many variables have you measured? ,[object Object],[object Object],[object Object]
How many variables have you measured? 14 Bus Jr F 2.6 5 15 Eng Fr M 2.7 4 17 Eng So M 2.9 3 15 Math So F 2.3 2 16 Psy Fr F 2.0 1 # of units Major Year Gender GPA Student
Types of Variables Qualitative Quantitative Discrete Continuous
Types of Variables ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Types of Variables ,[object Object],[object Object],[object Object]
Examples ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Graphing Qualitative Variables ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],[object Object],16% 4/25 = .16 4 Yellow 32% 8/25 = .32 8 Brown  12% 3/25 = .12 3 Orange 8% 2/25 = .08 2 Green 12% 3/25 = .12 3 Blue 20% 5/25 = .20 5 Red Percent Relative Frequency Frequency Tally Color m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m
Graphs Bar Chart: How often a particular category was observed Pie Chart: How the measurements are distributed among the categories
Graphing Quantitative Variables ,[object Object],A Big Mac hamburger costs $3.64 in Switzerland, $2.44 in the U.S. and $1.10 in South Africa.
[object Object],CPI: All Urban Consumers-Seasonally Adjusted BUREAU OF LABOR STATISTICS 178.60 178.00 177.60 177.30 177.50 177.60 178.10 March February January December November October September
Dotplots ,[object Object],[object Object],[object Object],Applet 4 5 6 7
Stem and Leaf Plots ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example The prices ($) of 18 brands of walking shoes: 90 70 70 70 75 70 65 68 60 74 70 95 75 70 68 65 40 65 4 0 5 6 5 8 0 8 5 5 7 0 0 0 5 0 4 0 5 0 8 9 0 5 4 0 5 6 0 5 5 5 8 8  7 0 0 0 0 0 0 4 5 5  8 9 0 5  Reorder
Interpreting Graphs: Location and Spread ,[object Object],[object Object],[object Object],[object Object]
Interpreting Graphs: Location and Spread ,[object Object]
Interpreting Graphs: Shapes Mound shaped and symmetric (mirror images) Skewed right: a few unusually large measurements Skewed left: a few unusually small measurements Bimodal: two local peaks
Interpreting Graphs: Outliers ,[object Object],Outlier No Outliers
Example ,[object Object],1.991 1.891 1.991 1.988 1.993  1.989 1.990 1.988 1.988 1.993 1.991 1.989 1.989 1.993 1.990 1.994
Relative Frequency Histograms ,[object Object],Create intervals Stack and draw bars
Relative Frequency Histograms ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Relative Frequency Histograms ,[object Object],[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
4% 2/50 = .04 2 11 65 to < 73 14% 7/50 = .14 7 1111  11 57 to < 65 18% 9/50 = .18 9 1111  1111 49 to < 57 26% 13/50 = .26 13 1111  1111  111 41 to < 49 28% 14/50 = .28 14 1111  1111  1111 33 to < 41 10% 5/50 = .10 5 1111 25 to < 33 Percent Relative Frequency Frequency Tally Age
Shape? Outliers? What proportion of the tenured faculty are younger than 41? What is the probability that a randomly selected faculty member is 49 or older?  Skewed right No. (14 + 5)/50 = 19/50 = .38 (8 + 7 + 2)/50 = 17/50 = .34 Describing the Distribution
Key Concepts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Key Concepts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Penggambaran Data dengan Grafik

  • 1. Introduction to Probability and Statistics Eleventh Edition Robert J. Beaver • Barbara M. Beaver • William Mendenhall Presentation designed and written by: Barbara M. Beaver with minor change by Joon Jin Song
  • 2. Introduction to Probability and Statistics Eleventh Edition Chapter 1 Describing Data with Graphs Some graphic screen captures from Seeing Statistics ® Some images © 2001-(current year) www.arttoday.com 
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. Basic Concept Population: the set of all measurements of interest to the investigator Sample: a subset of measurements selected from the population of interest
  • 11.
  • 12.
  • 13.
  • 14. How many variables have you measured? 14 Bus Jr F 2.6 5 15 Eng Fr M 2.7 4 17 Eng So M 2.9 3 15 Math So F 2.3 2 16 Psy Fr F 2.0 1 # of units Major Year Gender GPA Student
  • 15. Types of Variables Qualitative Quantitative Discrete Continuous
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21. Graphs Bar Chart: How often a particular category was observed Pie Chart: How the measurements are distributed among the categories
  • 22.
  • 23.
  • 24.
  • 25.
  • 26. Example The prices ($) of 18 brands of walking shoes: 90 70 70 70 75 70 65 68 60 74 70 95 75 70 68 65 40 65 4 0 5 6 5 8 0 8 5 5 7 0 0 0 5 0 4 0 5 0 8 9 0 5 4 0 5 6 0 5 5 5 8 8 7 0 0 0 0 0 0 4 5 5 8 9 0 5 Reorder
  • 27.
  • 28.
  • 29. Interpreting Graphs: Shapes Mound shaped and symmetric (mirror images) Skewed right: a few unusually large measurements Skewed left: a few unusually small measurements Bimodal: two local peaks
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36. 4% 2/50 = .04 2 11 65 to < 73 14% 7/50 = .14 7 1111 11 57 to < 65 18% 9/50 = .18 9 1111 1111 49 to < 57 26% 13/50 = .26 13 1111 1111 111 41 to < 49 28% 14/50 = .28 14 1111 1111 1111 33 to < 41 10% 5/50 = .10 5 1111 25 to < 33 Percent Relative Frequency Frequency Tally Age
  • 37. Shape? Outliers? What proportion of the tenured faculty are younger than 41? What is the probability that a randomly selected faculty member is 49 or older? Skewed right No. (14 + 5)/50 = 19/50 = .38 (8 + 7 + 2)/50 = 17/50 = .34 Describing the Distribution
  • 38.
  • 39.